Analytic Methods in Sports | Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports
Idioma: inglés
Editorial: Chapman and Hall/CRC, 2026
- Tapa dura
- Nuevo

Librería: preigu, Osnabrück, Alemaniapreigu
Vendedor de IberLibro desde 5 de agosto de 2024
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Analytic Methods in Sports | Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports | Thomas A Severini | Buch | Einband - fest (Hardcover) | Englisch | 2026 | Chapman and Hall/CRC | EAN 9781032836096 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
N° de ref. del artículo 134650985
- Título
- Analytic Methods in Sports | Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports
- Autor
- Thomas A Severini
- Editorial
- Chapman and Hall/CRC
- Año de publicación
- 2026
- Estado
- Neu
- Encuadernación
- Buch
- Idioma
- inglés
- ISBN 10
- 1032836091
- ISBN 13
- 9781032836096
- Edición
- 3ª Edición
- Peso del artículo
- 884 gramos
- Dimensiones
- 240 x 161 x 30 mm
- Catálogos de vendedores
- Bücher
One of the greatest changes in sports analytics in the past 25 years has been the use of mathematical methods to analyze performances, recognize trends and patterns, and predict results. Analytic Methods in Sports: Using Mathematics and Statistics to Understand Data from Baseball, Football, Basketball, and Other Sports, Third Edition, provides a concise, yet thorough, introduction to the analytic and statistical methods that are useful in studying sports.
Key Features:
- New to the third edition is a chapter on applying mathematical and statistical methods to the analysis of daily fantasy sports
- Covers numerous statistical procedures for analyzing data based on sports results
- Presents fundamental methods for describing and summarizing data
- Describes aspects of probability theory and basic statistical concepts that are necessary to understand and deal with the randomness inherent in sports data
- Explains the statistical reasoning underlying the methods
- Discusses several more advanced methods, including logistic regression models, random forests, regression models with random effects, spline methods, principal components analysis, multidimensional scaling, quantile regression, and more
- Illustrates the methods using real data drawn from a wide variety of sports
- Offers many of the data sets on the author’s website, enabling you to replicate the analyses or conduct related analyses
- R code is included for all calculations
- Exercises are given for each chapter, to enable use for courses and self-study
This popular textbook is primarily designed to be used to teach an introductory course on statistics to undergraduate students using sports examples. Its practical focus on application rather than theory ensures students develop immediately applicable skills for the rapidly expanding field of sports analytics. It is a perfect reference for readers comfortable with mathematics seeking to enter the growing field of sports analytics without prior statistical training. Its concise yet thorough approach makes it equally suitable for self-study by sports enthusiasts, coaches, and industry professionals looking to leverage the power of data-driven decision making in competitive environments.
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Thomas A. Severini is a Professor of Statistics and Data Science at Northwestern University and a fellow of the American Statistical Association and the Institute of Mathematical Statistics. He earned his PhD in Statistics from the University of Chicago.
“Acerca de” puede pertenecer a otra edición de este título.
preigu
Osnabrück, Alemania
Vendedor de IberLibro desde 5 de agosto de 2024
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